Mental health and psychological well-being of Kenyan adolescents from Nairobi and the Coast regions in the context of COVID-19

Despite the high burden of mental health problems during adolescence and its associated negative consequences, it has remained neglected especially in sub-Saharan Africa. The 2019 novel Coronavirus disease (COVID-19) pandemic has placed additional stress on adolescent mental health. However, there a...

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Veröffentlicht in:Child and adolescent psychiatry and mental health 2023-05, Vol.17 (1), p.63-63, Article 63
Hauptverfasser: Mbithi, Gideon, Mabrouk, Adam, Sarki, Ahmed, Odhiambo, Rachel, Namuguzi, Mary, Dzombo, Judith Tumaini, Atukwatse, Joseph, Kabue, Margaret, Mwangi, Paul, Abubakar, Amina
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Sprache:eng
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Zusammenfassung:Despite the high burden of mental health problems during adolescence and its associated negative consequences, it has remained neglected especially in sub-Saharan Africa. The 2019 novel Coronavirus disease (COVID-19) pandemic has placed additional stress on adolescent mental health. However, there are few studies documenting the burden of mental health problems and even fewer mental health services in the region. In relation to the limited body of knowledge, the present study aims to determine the psychological well-being of adolescents and to assess the risks and associated factors of mental health problems among adolescents in the context of COVID-19 pandemic in Kenya. We conducted a cross-sectional survey in 2022 among adolescents aged 13-19 years living in Nairobi, and the Coast region of Kenya. We utilized standardized psychological assessment tools including the Patient Health Questionnaire, Generalized Anxiety Scale, Strengths and Difficulties Questionnaire, The World Health Organization- Five Well-Being Index Scale, and the Pandemic Anxiety Scale, to evaluate the psychological wellbeing of the adolescents. A linear regression model was used to evaluate the correlates associated with quality of life, pandemic anxiety, and emotional and behavioural problems among adolescents. Subsequently, a logistic regression model was used to assess factors associated with depression and general anxiety disorders. Variables with a p-value 
ISSN:1753-2000
1753-2000
DOI:10.1186/s13034-023-00613-y